智慧城市操作系统的概念及技术体系

doi:10.11947/j.AGCS.2025.20240120

测绘学报 ›› 2025, Vol. 54 ›› Issue (5): 785-794.doi: 10.11947/j.AGCS.2025.20240120

智慧城市操作系统的概念及技术体系

贺彪¹^,²^,³^,⁴(), 郭仁忠¹^,²^,³^,⁴(), 徐海¹^,²^,³^,⁴, 蒯希¹^,²^,³^,⁴, 林浩嘉¹^,²^,³^,⁴, 赵志刚¹^,²^,³^,⁴

^1.深圳大学建筑与城市规划学院智慧城市研究院，广东　深圳　518060
^2.亚热带建筑与城市科学全国重点实验室，广东　深圳　518060
^3.深圳市城市数字孪生技术重点实验室，广东　深圳　518060
^4.粤港澳智慧城市联合实验室，广东　深圳　518060

收稿日期:2024-03-08 修回日期:2025-01-22 出版日期:2025-06-23 发布日期:2025-06-23
通讯作者: 郭仁忠 E-mail:hebiao@szu.edu.cn;guorz@szu.edu.cn
作者简介:贺彪（1983—），男，博士，教授，研究方向为智慧城市数字孪生平台、三维地籍等。E-mail：hebiao@szu.edu.cn
基金资助:
深圳市科技重大专项(KJZD20230923115219040)

Concept and technical system of smart city operating system

Biao HE¹^,²^,³^,⁴(), Renzhong GUO¹^,²^,³^,⁴(), Hai XU¹^,²^,³^,⁴, Xi KUAI¹^,²^,³^,⁴, Haojia LIN¹^,²^,³^,⁴, Zhigang ZHAO¹^,²^,³^,⁴

^1.Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
^2.State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, China
^3.Shenzhen Key Laboratory of Digital Twin Technologies for Cities, Shenzhen 518060, China
^4.Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, China

Received:2024-03-08 Revised:2025-01-22 Online:2025-06-23 Published:2025-06-23
Contact: Renzhong GUO E-mail:hebiao@szu.edu.cn;guorz@szu.edu.cn
About author:HE Biao (1983—), male, PhD, professor, majors in smart city digital twin platform, 3D cadastral, et al.　E-mail: hebiao@szu.edu.cn
Supported by:
Shenzhen Science and Technology Major Project(KJZD20230923115219040)

摘要/Abstract

摘要：

智慧城市的发展经历了以网络通信基础设施建设为主向智慧化城市管理的转变，面对城市开放复杂巨系统，如何建设满足各类应用需求的城市时空数据、共性基础的时空计算能力，是当前智慧城市建设亟须解决的核心问题。本文提出并分析了智慧城市操作系统的概念，从城市三元空间认知、智慧城市逻辑分层、智慧城市操作系统架构等方面来阐述智慧城市操作系统的内涵，探讨了需要重点聚焦的城市泛在感知、城市全空间实景建模、城市级场景三维渲染、城市算力网统一调度等智慧城市操作系统的技术体系。本文期待能为新时期智慧城市的发展提供参考思路。

关键词: 智慧城市, 操作系统, 时空基础数据, GIS, 三元空间

Abstract:

The development of smart cities has transitioned from the construction of network communication infrastructure to the management of intelligent urban systems. The core challenge in building smart cities today lies in how to develop urban spatio-temporal data and a unified spatio-temporal computing capability to meet the diverse needs of various applications. This paper introduces and analyzes the concept of smart city operating system, elaborating on its implications through the lenses of urban ternary spatial cognition, logical layering, and system architecture. It also emphasizes the importance of focusing on ubiquitous city sensing and digital modeling, spatio-temporal big data fusion and analysis, three-dimensional urban visualization, city-level simulation, and the integration of a city's computational power network. Additionally, it highlights the necessity of unified scheduling within the smart city operating system's technological framework. This paper aims to offer valuable insights for the development of smart cities in the contemporary era.

Key words: smart city, operating system, spatio-temporal data, GIS, ternary space

中图分类号:

P208

贺彪, 郭仁忠, 徐海, 蒯希, 林浩嘉, 赵志刚. 智慧城市操作系统的概念及技术体系[J]. 测绘学报, 2025, 54(5): 785-794.

Biao HE, Renzhong GUO, Hai XU, Xi KUAI, Haojia LIN, Zhigang ZHAO. Concept and technical system of smart city operating system[J]. Acta Geodaetica et Cartographica Sinica, 2025, 54(5): 785-794.

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参考文献 33

[1]	GIBSON D V, KOZMETSKY G, SMILOR R W. The technopolis phenomenon: smart cities, fast systems, global networks[M]. Washington DC: Rowman & Littlefield, 1992.
[2]	CARAGLIU A, DEL BO C, NIJKAMP P. Smart cities in Europe[J]. Journal of Urban Technology, 2011, 18(2): 65-82.
[3]	CLARISSE P. Smart cities in Japan: an assessment on the potential for EU-Japan cooperation and business development[R]. Tokyo: The EU-Japan Center, 2014.
[4]	NGP T. Embracing emerging technologies: the case of the Singapore intelligent nation 2015 vision[M]//Regional innovation systems and sustainable development. Emerging Technologies: IGI Global, 2011.
[5]	PASKALEVA K A. Enabling the smart city: the progress of city e-governance in Europe[J]. International Journal of Innovation and Regional Development, 2009, 1(4): 405-422.
[6]	BRONSTEIN Z. Industry and the smart cities[J]. Dissent, 2009, 56(3): 27-34.
[7]	LIU Pu, PENG Zhenghong. China's smart city pilots: a progress report[J]. Computer, 2014, 47(10): 72-81.
[8]	PAN Yunhe. Heading toward artificial intelligence 2.0[J]. Engineering, 2016, 2(4): 51-61.
[9]	郭仁忠, 林浩嘉, 贺彪, 等. 面向智慧城市的GIS框架[J]. 武汉大学学报(信息科学版), 2020, 45(12): 1829-1835.
	GUO Renzhong, LIN Haojia, HE Biao, et al. GIS framework for smart cities[J]. Geomatics and Information Science of Wuhan University, 2020, 45(12): 1829-1835.
[10]	ZANELLA A, BUI N, CASTELLANI A, et al. Internet of things for smart cities[J]. IEEE Internet of Things Journal, 2014, 1(1): 22-32.
[11]	周干峙. 城市及其区域：一个典型的开放的复杂巨系统[J]. 城市规划, 2002, 26(2): 7-8, 18.
	ZHOU Ganzhi. City and its region: an typical open complex huge system[J]. City Planning Review, 2002, 26(2): 7-8, 18.
[12]	RUHLANDT R W S. The governance of smart cities: a systematic literature review[J]. Cities, 2018, 81: 1-23.
[13]	王家耀, 刘嵘, 成毅, 等. 让城市更智慧[J]. 测绘科学技术学报, 2011, 28(2): 79-83.
	WANG Jiayao, LIU Rong, CHENG Yi, et al. Making the city smarter[J]. Journal of Geomatics Science and Technology, 2011, 28(2): 79-83.
[14]	郭仁忠, 张双虎. 智慧城市该如何建[N]. 中国科学报, 2020-10-22(3).
	GUO Renzhong, ZHANG Shuanghu. How to build a smart city[N]. China Science Daily, 2020-10-22(3).
[15]	李德仁, 姚远, 邵振峰. 智慧城市中的大数据[J]. 武汉大学学报(信息科学版), 2014, 39(6): 631-640.
	LI Deren, YAO Yuan, SHAO Zhenfeng. Big data in smart city[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631-640.
[16]	龚健雅, 张翔, 向隆刚, 等. 智慧城市综合感知与智能决策的进展及应用[J]. 测绘学报, 2019, 48(12): 1482-1497. DOI: . doi: 10.11947/j.AGCS.2019.20190464
	GONG Jianya, ZHANG Xiang, XIANG Longgang, et al. Progress and applications for integrated sensing and intelligent decision in smart city[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(12): 1482-1497. DOI: . doi: 10.11947/j.AGCS.2019.20190464
[17]	李德仁, 龚健雅, 邵振峰. 从数字地球到智慧地球[J]. 武汉大学学报(信息科学版), 2010, 35(2): 127-132, 253-254.
	LI Deren, GONG Jianya, SHAO Zhenfeng. From digital Earth to smart Earth[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 127-132, 253-254.
[18]	郑宇. 城市计算概述[J]. 武汉大学学报(信息科学版), 2015, 40(1): 1-13.
	ZHENG Yu. Introduction to urban computing[J]. Geomatics and Information Science of Wuhan University, 2015, 40(1): 1-13.
[19]	杨元喜, 王建荣. 泛在感知与航天测绘[J]. 测绘学报, 2023, 52(1): 1-7. DOI: . doi: 10.11947/j.AGCS.2023.20220405
	YANG Yuanxi, WANG Jianrong. Ubiquitous perception and space mapping[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(1): 1-7. DOI: . doi: 10.11947/j.AGCS.2023.20220405
[20]	刘经南, 郭文飞, 郭迟, 等. 智能时代泛在测绘的再思考[J]. 测绘学报, 2020, 49(4): 403-414. DOI: . doi: 10.11947/j.AGCS.2020.20190539
	LIU Jingnan, GUO Wenfei, GUO Chi, et al. Rethinking ubiquitous mapping in the intelligent age[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(4): 403-414. DOI: . doi: 10.11947/j.AGCS.2020.20190539
[21]	李德仁, 张良培, 夏桂松. 遥感大数据自动分析与数据挖掘[J]. 测绘学报, 2014, 43(12): 1211-1216.
	LI Deren, ZHANG Liangpei, XIA Guisong. Automatic analysis and mining of remote sensing big data[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(12): 1211-1216.
[22]	单杰, 李志鑫, 张文元. 大规模三维城市建模进展[J]. 测绘学报, 2019, 48(12): 1523-1541. DOI: . doi: 10.11947/j.AGCS.2019.20190471
	SHAN Jie, LI Zhixin, ZHANG Wenyuan. Recent progress in large-scale 3D city modeling[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(12): 1523-1541. DOI: . doi: 10.11947/j.AGCS.2019.20190471
[23]	朱庆, 张利国, 丁雨淋, 等. 从实景三维建模到数字孪生建模[J]. 测绘学报, 2022, 51(6): 1040-1049. DOI: . doi: 10.11947/j.AGCS.2022.20210640
	ZHU Qing, ZHANG Liguo, DING Yulin, et al. From real 3D modeling to digital twin modeling[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(6): 1040-1049. DOI: . doi: 10.11947/j.AGCS.2022.20210640
[24]	林珲, 朱庆, 陈旻. 有无相生　虚实互济：虚拟地理环境研究20周年综述[J]. 测绘学报, 2018, 47(8): 1027-1030. DOI: . doi: 10.11947/j.AGCS.2018.20180202
	LIN Hui, ZHU Qing, CHEN Min. The being and non-being generate each other, and the virtual and the real are mutually interactive: the progress of virtual geographic environments (VGE) studies in last 20 years[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(8): 1027-1030. DOI: . doi: 10.11947/j.AGCS.2018.20180202
[25]	贺彪, 郭仁忠, 张琛, 等. 面向数字孪生城市的自然场景构造方法[J]. 测绘通报, 2022(7): 87-92.
	HE Biao, GUO Renzhong, ZHANG Chen, et al. A natural scene construction method for digital twin cities[J]. Bulletin of Surveying and Mapping, 2022(7): 87-92.
[26]	XU Hai, HE Biao, ZHANG Chen, et al. Quality-preserving multilevel mesh generation for building models[J]. International Journal of Digital Earth, 2024, 17(1): 201-208.
[27]	陈军, 武昊, 刘万增, 等. 自然资源时空信息的技术内涵与研究方向[J]. 测绘学报, 2022, 51(7): 1130-1140. DOI: . doi: 10.11947/j.AGCS.2022.20210643
	CHEN Jun, WU Hao, LIU Wanzeng, et al. Technical connotation and research agenda of natural resources spatio-temporal information[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7): 1130-1140. DOI: . doi: 10.11947/j.AGCS.2022.20210643
[28]	郭仁忠, 陈业滨, 马丁, 等. 论ICT时代的泛地图表达[J]. 测绘学报, 2022, 51(7): 1108-1113. DOI: . doi: 10.11947/j.AGCS.2022.20220140
	GUO Renzhong, CHEN Yebin, MA Ding, et al. Pan-map representation in ICT era[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7): 1108-1113. DOI: . doi: 10.11947/j.AGCS.2022.20220140
[29]	徐海, 贺彪, 蒯希, 等. 融合分层层次细节和潜在可见集的三维城市场景高效可视化[J]. 测绘通报, 2024(1): 102-108.
	XU Hai, HE Biao, KUAI Xi, et al. Efficient visualization of 3D city scenes combining hierarchical level of details and potential visible sets[J]. Bulletin of Surveying and Mapping, 2024(1): 102-108.
[30]	朱庆. 三维GIS及其在智慧城市中的应用[J]. 地球信息科学学报, 2014, 16(2): 151-157.
	ZHU Qing. Full three-dimensional GIS and its key roles in smart city[J]. Journal of Geo-information Science, 2014, 16(2): 151-157.
[31]	于施洋, 郭明军, 郭巧敏, 等. 数字城市“新市政”：城市算力网的总体架构及实施路径研究[J]. 电子政务, 2022(12): 2-12.
	YU Shiyang, GUO Mingjun, GUO Qiaomin, et al. “New municipal administration” of digital city: research on the overall framework and implementation path of urban computing network[J]. E-Government, 2022(12): 2-12.
[32]	张新长, 廖曦, 阮永俭. 智慧城市建设中的数字孪生与元宇宙探讨[J]. 测绘通报, 2023(1): 1-7, 13.
	ZHANG Xinchang, LIAO Xi, RUAN Yongjian. Discussion on digital twin and metaverse in smart city construction[J]. Bulletin of Surveying and Mapping, 2023(1): 1-7, 13.
[33]	DEMBSKI F, WÖSSNER U, LETZGUS M, et al. Urban digital twins for smart cities and citizens: the case study of Herrenberg, Germany[J]. Sustainability, 2020, 12(6): 2307.

智慧城市操作系统的概念及技术体系

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